Alexander Zelikovsky
Affiliations: | Computer Science | Georgia State University, Atlanta, GA, United States |
Area:
Bioinformatics Biology, Computer ScienceGoogle:
"Alexander Zelikovsky"
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Publications
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Knyazev S, Hughes L, Skums P, et al. (2020) Epidemiological data analysis of viral quasispecies in the next-generation sequencing era. Briefings in Bioinformatics |
Mitchell K, Brito JJ, Mandric I, et al. (2020) Benchmarking of computational error-correction methods for next-generation sequencing data. Genome Biology. 21: 71 |
Lähnemann D, Köster J, Szczurek E, et al. (2020) Eleven grand challenges in single-cell data science. Genome Biology. 21: 31 |
Zelikovsky A, Mandric I, Skums P, et al. (2019) Abstract LB-214: Imputation of single cell cancer genotypes Cancer Research. 79 |
Tsyvina V, Campo DS, Sims S, et al. (2018) Fast estimation of genetic relatedness between members of heterogeneous populations of closely related genomic variants. Bmc Bioinformatics. 19: 360 |
Mandric I, Knyazev S, Zelikovsky A. (2018) Repeat aware evaluation of scaffolding tools. Bioinformatics (Oxford, England) |
Mangul S, Yang HT, Hormozdiari F, et al. (2017) HapIso : An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads. Ieee Transactions On Nanobioscience |
Artyomenko A, Wu NC, Mangul S, et al. (2016) Long Single-Molecule Reads Can Resolve the Complexity of the Influenza Virus Composed of Rare, Closely Related Mutant Variants. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
Mandric I, Zelikovsky A. (2015) ScaffMatch: scaffolding algorithm based on maximum weight matching. Bioinformatics (Oxford, England) |
Skums P, Artyomenko A, Glebova O, et al. (2015) Computational framework for next-generation sequencing of heterogeneous viral populations using combinatorial pooling. Bioinformatics (Oxford, England). 31: 682-90 |